A5027899721- COVID-19 Clinical Research Studies
- Sepsis Diagnosis and Treatment
- COVID-19 and Mental Health
- Trauma and Emergency Care Studies
- Cancer Diagnosis and Treatment
- Amino Acid Enzymes and Metabolism
- Digestive system and related health
- Respiratory Support and Mechanisms
- COVID-19 diagnosis using AI
- COVID-19 and healthcare impacts
- Machine Learning in Healthcare
- Healthcare cost, quality, practices
- Emergency and Acute Care Studies
Zuyderland Medisch Centrum
2022-2024
Maastricht University Medical Centre
2021-2022
Although male Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) patients have higher Intensive Care Unit (ICU) admission rates and a worse disease course, comprehensive analysis of female ICU survival underlying factors such as comorbidities, risk factors, and/or anti-infection/inflammatory therapy administration is currently lacking. Therefore, we investigated the association between sex survival, adjusting for these other variables. In this multicenter observational cohort...
Most published prediction models for Coronavirus Disease 2019 (COVID-19) were poorly reported, at high risk of bias, and heterogeneous in model performance. To tackle methodological challenges faced previous studies, we investigated whether updating extending improves mortality prediction, using the Intensive Care Unit (ICU) as a proxy. All COVID-19 patients admitted to seven ICUs Euregio-Meuse Rhine during first pandemic wave included. The 4C Mortality SEIMC scores selected promising...
Objectives Interhospital transports of critically ill patients are high-risk medical interventions. Well-established parameters to quantify the quality currently lacking. We aimed develop and cross-validate a score for interhospital transports. Setting An expert panel developed transport by Mobile Intensive Care Unit (MICU), QUality Transportation in Euregion Meuse-Rhine (QUIT-EMR) score. The QUIT-EMR is an overall sum that includes component scores monitoring intervention variables...